Establishing a robust machine learning workflow is paramount for obtaining consistent and scalable results. A well-defined workflow integrates a series of phases that guide you from data gathering to model deployment. Primarily, it's crucial to define your goals and gather the relevant dataset. Data transformation follows, involving techniques like